Senior AI-Driven Release & Automation Engineer

generalmotors; Sunnyvale (CA); On-site; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health insurance

Job summary

General Motors is hiring for an engineering role focused on automating software development, testing, and release workflows in a data-driven AV software environment. You will design AI-enabled solutions, build CI/CD integrations, and collaborate with Release, Systems, QA, and AI/ML teams to accelerate safe, scalable AV software delivery.

The role emphasizes building data pipelines, evaluating AI outputs, and delivering measurable improvements in cycle time, test coverage, and release readiness.

Qualifications

• Strong proficiency in Python and SQL.
• Proven experience in CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab, or equivalent).
• Hands-on experience developing ELT/ETL pipelines and integrating data from engineering, QA, simulation, and operational systems.
• Experience applying AI, machine learning, or LLM-based solutions to improve engineering productivity, test analysis, defect triage, documentation, or decision-making.
• Ability to evaluate AI-generated outputs for accuracy, consistency, traceability, and usefulness in engineering workflows.
• Strong analytical, debugging, and problem-solving skills across large-scale software systems.
• Experience integrating simulation or hardware-in-loop testing into automated pipelines.

Responsibilities

• Lead the design and implementation of automation across software development, testing, release, and operational workflows.
• Identify opportunities to apply AI, machine learning, and LLM-based tools to improve engineering productivity and decision-making.
• Build AI-enabled solutions for test analysis, failure classification, defect triage, documentation, reporting, and workflow orchestration.
• Develop and maintain scalable CI/CD integrations supporting simulation, hardware-in-loop, regression, and release validation activities.
• Build data pipelines that combine engineering, QA, simulation, test, and release information into actionable insights.
• Establish practical methods for evaluating the accuracy, usefulness, traceability, and adoption of AI-enabled engineering tools.
• Automate repetitive manual processes and measure improvements in cycle time, test efficiency, defect prevention, and engineering throughput.
• Improve visibility into test health, regression trends, flaky tests, failure patterns, and release readiness.
• Collaborate with engineering, QA, operations, data, and program teams to understand pain points and deliver effective automation solutions.
• Integrate tools such as Jira, GitHub, dashboards, observability platforms, and cloud services into unified engineering workflows.
• Help define standards and governance for maintainable, secure, observable, and scalable automation and AI solutions.
• Communicate technical findings, process improvements, and measurable business impact to engineering and leadership stakeholders.

Skills

Python

SQL

CI/CD

ELT/ETL

AI/ML

Data pipelines

Debugging

Cloud

Collaboration

Communication

Education

Bachelor’s/Master’s/PhD in CS/EE/Robotics

Tools

Jira

GitHub

Grafana

Power BI

Job description

General Motors is hiring for an engineering role focused on automating software development, testing, and release workflows in a data-driven AV software environment. You will design AI-enabled solutions, build CI/CD integrations, and collaborate with Release, Systems, QA, and AI/ML teams to accelerate safe, scalable AV software delivery.

The role emphasizes building data pipelines, evaluating AI outputs, and delivering measurable improvements in cycle time, test coverage, and release readiness.